The Computer Measuring and Controlling System for the Plugging Meter of the Mobile Sodium Purification Device

The plugging meter of mobile sodium purification device is the special equipment for on-line monitoring the plugging temperature, and according to which to calculate oxygen content in the sodium. This paper introduced the working principle of the test sodium loop, plugging meter and the computer measuring and controlling system. The core of the system was a data acquisition card, and using pure PID control algorithm to complete the whole measuring process of the plugging temperature and solving the plugging temperature by curve fitting method. The system could also display in real time the change curve of flow and temperature in plugging area, and record the test data simultaneously. After multiple debugging and trial running, the system was at good performance which laid foundation on debugging and running for other plugging meters.

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Studies on CCD On-Line Detection in Curve Grinding

Materials Science Forum ◽

10.4028/www.scientific.net/msf.505-507.607 ◽

2006 ◽

Vol 505-507 ◽

pp. 607-612

Author(s):

Yong Hong Zhang ◽

Hui Qiang Tang ◽

Quan Lin Bu ◽

De Jin Hu

Keyword(s):

Detection Method ◽

Field Of View ◽

Large Field ◽

Work Piece ◽

Working Process ◽

Tolerance Zone ◽

Fitting Method ◽

On Line ◽

Image Edge ◽

Curve Fitting Method

An on-line image measurement system for curve grinding was schemed out according to the working process. Because of interaction between detection precision and field of view, it is difficult to realize high detection precision at a large field of view. In order to settle this problem, a detection method based on circular tolerance zone was presented according to grinding process and wheel shape. Real-time images of work piece can be gathered while using synchronal control and outer trigger technology. Using curve fitting method, the work piece image edge can be located to sub-pixel values. Experiments show that the proposed method in this paper is effective, and its detection precision and results are reasonable.

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Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System Performance

Metrology and Measurement Systems ◽

10.2478/v10178-012-0033-8 ◽

2012 ◽

Vol 19 (2) ◽

pp. 381-394

Author(s):

José Pereira ◽

Octavian Postolache ◽

Pedro Girão

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Measurement System ◽

Curve Fitting ◽

System Performance ◽

Redox Potentials ◽

Voltage Sweep ◽

Gaussian Curve ◽

Fitting Method ◽

Curve Fitting Method

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System PerformanceThis paper presents a voltammetric segmented voltage sweep mode that can be used to identify and measure heavy metals' concentrations. The proposed sweep mode covers a set of voltage ranges that are centered around the redox potentials of the metals that are under analysis. The heavy metal measurement system can take advantage of the historical database of measurements to identify the metals with higher concentrations in a given geographical area, and perform a segmented sweep around predefined voltage ranges or, alternatively, the system can perform a fast linear voltage sweep to identify the voltammetric current peaks and then perform a segmented voltage sweep around the set of voltages that are associated with the voltammetric current peaks. The paper also includes the presentation of two auto-calibration modes that can be used to improve system's reliability and proposes the usage of a Gaussian curve fitting of voltammetric data to identify heavy metals and to evaluate their concentrations. Several simulation and experimental results, that validate the theoretical expectations, are also presented in the paper.

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A Useful Curve Fitting Method for Concrete Uniaxial Compressive Experiment Data

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.291-294.1015 ◽

2011 ◽

Vol 291-294 ◽

pp. 1015-1020 ◽

Cited By ~ 1

Author(s):

Chong Jin ◽

Hong Wang ◽

Xiao Zhou Xia

Keyword(s):

Experimental Data ◽

Orthogonal Polynomial ◽

Least Square ◽

Base Function ◽

Concrete Material ◽

Fitting Method ◽

Orthogonal Base ◽

The Matrix ◽

Uniform Function ◽

Curve Fitting Method

Based on the superiority avoiding the matrix equation to be morbid for those fitting functions constructed by orthogonal base, the Legendre orthogonal polynomial is adopted to fit the experimental data of concrete uniaxial compression stress-strain curves under the frame of least-square. With the help of FORTRAN programming, 3 series of experimental data is fitted. And the fitting effect is very satisfactory when the item number of orthogonal base is not less than 5. What’s more, compared with those piecewise fitting functions, the Legendre orthogonal polynomial fitting function obtained can be introduced into the nonlinear harden-soften character of concrete constitute law more convenient because of its uniform function form and continuous derived feature. And the fitting idea by orthogonal base function will provide a widely road for studying the constitute law of concrete material.

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New procedure for determining the strain hardening behavior of sheet metals at large strains using the curve fitting method

Mechanics of Materials ◽

10.1016/j.mechmat.2020.103729 ◽

2021 ◽

Vol 154 ◽

pp. 103729

Author(s):

Quoc Tuan Pham ◽

Myoung-Gyu Lee ◽

Young-Suk Kim

Keyword(s):

Strain Hardening ◽

Curve Fitting ◽

Large Strains ◽

Sheet Metals ◽

Hardening Behavior ◽

Fitting Method ◽

Curve Fitting Method ◽

Strain Hardening Behavior

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On-Line Monitoring System for Monitoring SO2 in Fumes (1) — Monitoring Subsystem for SO2 Mass Concentration

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.422.296 ◽

2011 ◽

Vol 422 ◽

pp. 296-299

Author(s):

Shi Long Wang ◽

Li Na Wang ◽

Hong Bo Wang ◽

Yong Hui Cai

Keyword(s):

Flow Velocity ◽

Monitoring System ◽

Flow Rate ◽

Mass Concentration ◽

National Monitoring ◽

Monitoring Result ◽

Short Period ◽

On Line ◽

Working Principle

In order to achieve the target of controlling SO2 emissions in fumes in a short period of time in China, a SO2 on-line monitoring system (CEMS) has been developed by the authorased on the principle of electrochemistry. This system consists of two subsystems: (1) SO2 mass concentration monitoring and (2) SO2 flow velocity and flow rate monitoring. In the paper, the procedure of system and working principle and method of SO2 mass concentration monitoring subsystem are described in detail (SO2 flow velocity and flow rate monitoring subsystem is described by another paper).Two subsystems work synchronously to monitor and calculate the SO2 emissions, then the on-line monitoring of SO2 emissions is achieved. Through experiment and testing, monitoring result of the system is stable and reliable, which has reached the national monitoring standards and passed the appraisal.

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Analysis on the Return Period of “7.26” Rainstorm and Flood in 2017 in the Wudinghe Basin

MATEC Web of Conferences ◽

10.1051/matecconf/201824601105 ◽

2018 ◽

Vol 246 ◽

pp. 01105

Author(s):

Shuang-yan Jin ◽

Wen-yong Gao ◽

Si-wu Luo ◽

Ya-jun Gao

Keyword(s):

Return Period ◽

Peak Discharge ◽

Observation Data ◽

Historical Survey ◽

Annual Maximum ◽

Frequency Curve ◽

Recurrence Period ◽

Fitting Method ◽

Curve Fitting Method ◽

Hydrological Station

The return period of "7.26" rainstorm flood in 2017 in Wudinghe basin is analyzed by the method of P-III distribution. The Lijiahe and Dingjiagou stations with long rainfall observation data in the rainstorm area are selected, and the frequency curve of the annual maximum 24 hours rainfall are established, and the recurrence period of rainfall stations in rainstorm area are estimated according to the parameters determined by the curve fitting method. The frequency curve of the annual maximum peak discharge of Baijiachuan hydrological stations and so on are established, and the return period are analyzed in combination with the historical survey floods. The results show that the return period of Zhaojiabian of heavy rainfall center is about 100 years, and which of the other stations over than 200mm in Wudinghe basin is about 30~90 years; while the return period of the peak discharge of Baijiachuan and Suide hydrological station is about 30 and 20 years respectively.

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